Prediction of the distillation profile and cold properties of diesel fuels using mid-IR spectroscopy and neural networks
作者： N. Pasadakis , S. Sourligas , Ch. Foteinopoulos
DOI: 10.1016/J.FUEL.2005.09.016
关键词:
摘要: In this paper, the distillation curve points and certain cold properties of diesel fuel fractions were determined by means mid infrared spectroscopy (IR) artificial neural networks (ANNs). Distinct ANN models developed for prediction with 5% recovery increment, pour (PP) cloud (CP) points. The interest measured experimentally following standard ASTM methods. algorithms tested on unseen data exhibited high level accuracy, comparable to one laboratory presented can be used as a rapid reliable tool in quality control applications various involved production, since they determine several important simultaneously based single fast IR measurement.
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